Sort by
Refine Your Search
-
skills. Knowledge of process modeling and life cycle analysis. Knowledge of production processes for critical materials and minerals such as lithium, cobalt, copper, magnesium, nickel, platinum, zinc, etc
-
. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred skills: Microwave circuit design, terahertz optics, and their characterization. Knowledge about near
-
-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering, materials science or related field. Knowledge and hands-on experience in the following areas
-
chemistry, chemical engineering, materials science or related field. Knowledge and hands-on experience in the following areas: hydrometallurgical chemistry, critical materials recovery, separations science
-
Proficiency in low-noise cryogenic measurement techniques spanning millikelvin to few-kelvin temperatures Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred
-
frameworks such as PyTorch, TensorFlow, JAX, or similar tools. Knowledge of federated learning, distributed machine learning, privacy-preserving AI, foundation models, multimodal learning, continual learning
-
. Position Requirements A formal education in materials science and engineering, nuclear engineering, or a related field at the PhD level with zero to five years of employment experience. Knowledge of metallic
-
(typically completed within the last 0-5 years) in Chemistry, materials science or related field. Knowledge and hands-on experience in the following areas: organic chemistry and synthesis. Experience in flow
-
. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
-
or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active